ANTIMICROBIAL PEPTIDE SCANNER

Prediction results can be downloaded as a zip file and will be available online for 72 hours before being deleted. When submitting over 2,000 sequences, we recommend using the 'file upload' option rather than pasting sequences into the text box. If you need to submit many large batches of sequences, please get in touch with us first so we can assist you... The DNN uses a mix of convolutional (Conv) and recurrent long short-term memory (LSTM) layers as outlined above. Peptide sequences are first encoded into uniform numerical vectors of length 200. Shorter sequences padded with 0's in front which the network ignores. These vectors (X) are fed to an embedding layer of length 128, followed by a Conv layer comprised of 64 filters. Each of these filters undergoes a 1D convolution and is down-sampled via a maximal pooling layer of size 5. Next, an LSTM layer with 100 units allows the DNN to remember or ignore old information passed along the horizontal dotted arrows extending from each X i..